Introduction to Social Media Analytics

This comprehensive course explores the intersection of social media platforms and network science, providing students with essential skills for analysing digital social interactions. Beginning with graph theory fundamentals, students learn to model social media data as networks and apply mathematical frameworks to extract meaningful insights. The curriculum progresses through advanced network analysis, centrality measures, and community detection algorithms. Students master key concepts, including degree centrality, betweenness analysis, PageRank algorithms, and information diffusion models. …